Computer Vision Engineer

Vintti is a staffing agency that leverages the geographical advantage of Latin America to benefit US businesses. We connect companies with professionals who work in time zones closely aligned with or identical to US hours, ensuring seamless communication and collaboration. This synchronicity allows for real-time interaction, enhancing productivity and eliminating the delays often associated with offshore staffing.

A Computer Vision Engineer is responsible for designing and implementing algorithms and systems that enable computers to interpret and make decisions based on visual inputs from the world around them. They work on tasks such as image recognition, video analysis, 3D reconstruction, and object detection, often leveraging artificial intelligence and machine learning techniques. This role involves not only developing software but also collaborating with hardware engineers to optimize the integration of vision systems into various products and applications. Their expertise is crucial in fields such as robotics, autonomous vehicles, healthcare, and augmented reality.

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Proven experience as a Computer Vision Engineer or similar role
- Strong understanding of computer vision algorithms and techniques
- Proficiency in programming languages such as Python, C++, or Java
- Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
- Knowledge of image processing libraries like OpenCV
- Familiarity with machine learning algorithms and principles
- Experience with data collection, annotation, and preprocessing
- Strong analytical and problem-solving skills
- Ability to design, train, and evaluate machine learning models
- Understanding of optimization techniques for efficiency and scalability
- Experience conducting A/B testing and experiments to validate models
- Solid understanding of deploying models to production environments
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and edge computing
- Proficient in version control systems such as Git
- Excellent communication skills, both written and verbal
- Strong collaboration skills with cross-functional teams
- Ability to document methodologies, procedures, and code
- Experience with code reviews and maintaining high-quality code standards
- Commitment to staying updated with the latest research in computer vision and machine learning
- Familiarity with data privacy and ethical guidelines in AI and data handling
- Ability to gather and analyze user feedback for system improvements
- Experience developing tools and scripts for automation
- Ability to mentor and support junior team members
- Strong organizational and time management skills

- Develop and implement computer vision algorithms for image and video analysis.
- Define project requirements and deliverables collaboratively with cross-functional teams.
- Perform data collection, annotation, and preprocessing to create training datasets.
- Train, evaluate, and fine-tune machine learning models for accuracy and performance.
- Conduct experiments and A/B testing to validate model performance on real-world data.
- Optimize algorithms and models for efficiency, scalability, and real-time processing.
- Stay updated with the latest advancements in computer vision and machine learning.
- Troubleshoot and resolve issues related to data, algorithms, and model performance.
- Integrate computer vision solutions into production systems and workflows.
- Document methodologies, procedures, and code for reproducibility and knowledge transfer.
- Participate in code reviews to maintain high quality and best practices.
- Present findings and progress to stakeholders through reports, presentations, and demonstrations.
- Design and conduct experiments to test new approaches or algorithms.
- Collaborate with software engineers to deploy models on cloud and edge platforms.
- Gather and analyze user feedback to improve system functionality and user experience.
- Develop tools and scripts to automate data processing and model evaluation tasks.
- Mentor and support junior team members, sharing knowledge and best practices.
- Ensure compliance with data privacy and ethical guidelines in data handling and model development activities.

The ideal candidate for the Computer Vision Engineer role is a highly analytical and problem-solving professional with a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, and proven experience in the domain. They possess a strong understanding of computer vision algorithms and techniques, as well as proficiency in programming languages such as Python, C++, or Java. This person is skilled in using deep learning frameworks like TensorFlow, Keras, or PyTorch and has hands-on experience with image processing libraries like OpenCV. They are adept at data collection, annotation, and preprocessing, and they have a solid foundation in machine learning principles and algorithms, enabling them to design, train, and evaluate efficient machine learning models. The ideal candidate is detail-oriented and excels at optimizing models for scalability and real-time processing, conducting rigorous A/B testing, and integrating solutions into production environments. They are familiar with cloud platforms and edge computing and have a strong command of version control systems like Git. Excellent communication and collaboration skills allow them to effectively work with cross-functional teams and mentor junior members. They are committed to maintaining high-quality code standards and staying current with the latest advancements in the field. A strong ethical mindset ensures compliance with data privacy and ethical guidelines, while their innovative thinking and passion for driving technological advancements contribute to successful project outcomes. Highly adaptable and self-motivated, they excel in dynamic environments, manage multiple projects efficiently, and possess the ability to gather and translate user feedback into actionable improvements.

- Develop and implement computer vision algorithms and models to solve problems in image and video analysis.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Perform data collection, annotation, and preprocessing to create training datasets.
- Train, evaluate, and fine-tune machine learning models for accuracy and performance.
- Conduct experiments and perform A/B testing to validate model performance on real-world data.
- Optimize algorithms and models for efficiency, scalability, and real-time processing.
- Stay up-to-date with the latest research and advancements in computer vision and machine learning.
- Troubleshoot and resolve issues related to data, algorithms, and model performance.
- Integrate computer vision solutions into production systems and workflows.
- Document methodologies, procedures, and code to ensure reproducibility and knowledge transfer.
- Participate in code reviews to maintain high quality and best practices in software development.
- Present findings and progress to stakeholders through reports, presentations, and demonstrations.
- Design and conduct experiments to test the efficacy of new approaches or algorithms.
- Collaborate with software engineers to deploy models on various platforms, including cloud and edge devices.
- Gather and analyze user feedback to improve system functionality and user experience.
- Develop tools and scripts to automate data processing and model evaluation tasks.
- Mentor and support junior team members, sharing knowledge and best practices.
- Ensure compliance with data privacy and ethical guidelines in all data handling and model development activities.

- Strong analytical and problem-solving abilities
- Excellent communication skills, both written and verbal
- Team-oriented with strong collaboration skills
- Curiosity and eagerness to stay updated with the latest advancements in computer vision and machine learning
- High attention to detail and accuracy
- Self-motivated with a strong sense of ownership and accountability
- Ability to think creatively and innovatively
- High degree of adaptability and flexibility in a dynamic work environment
- Organizational skills with the ability to manage multiple projects and meet deadlines
- Strong commitment to maintaining high-quality code and best practices
- Ethical mindset with a commitment to data privacy and ethical guidelines
- Ability to mentor and support junior team members effectively
- Passion for driving technological advancements and real-world applications
- Strong ability to troubleshoot and resolve complex issues independently
- Enthusiasm for collaborating across disciplines and with various stakeholders
- Proven ability to integrate and implement solutions in production environments
- Natural inclination towards continuous learning and professional development
- Ability to gather and analyze user feedback constructively
- Capable of operating efficiently under minimal supervision

- Competitive salary range
- Comprehensive health insurance plans including medical, dental, and vision coverage
- Flexible working hours
- Remote work options
- Generous paid time off (PTO) and holiday leave
- Paid parental leave
- 401(k) retirement savings plan with company match
- Professional development opportunities and continuing education support
- Access to industry conferences and events
- Mentorship and coaching opportunities
- Employee wellness programs
- Access to state-of-the-art technology and tools
- Collaborative and inclusive work environment
- Stock options or performance-based bonuses
- Health and wellness stipends or gym memberships
- Commuter benefits or transportation subsidies
- Employee assistance programs (EAP) for mental health support
- Opportunities for career advancement and growth within the company
- Diversity and inclusion initiatives
- Relocation assistance, if applicable
- Volunteer time off and community engagement activities
- Subsidies for professional membership fees or certifications
- Team building activities and company social events